|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-machine-learning-f/
课程评论：没有评论
**课程名称：机器学习导论** **课程概述：** 本课程旨在为学员提供机器学习领域的广泛概览，介绍重要的术语和技术，帮助大家理解相关讨论。课程将涵盖数据管道的基础知识，并指出数据准备过程中常见的陷阱。此外，课程还将探讨不同类型的机器学习模型，以及它们与深度学习模型的区别。 课程将对一些流行的监督和无监督模型进行概括介绍，学员还将接触到一些流行的神经网络变体。最后，将通过实践演示，展示如何结合所学知识构建基础的机器学习解决方案。 **课程特点（不包含内容）：** * **不涉及深入的数学原理：** 课程不会详细解释模型的数学基础，也不会深入讲解如何从零开始实现机器学习模型。 * **简化易懂：** 课程旨在通过简化和浓缩内容，为学员提供一个易于理解的机器学习入门。 * **高实用性：** 无论您是雇主还是雇员，对机器学习模型的基本了解都将极有价值，尤其是在机器学习工具日益普及的今天。 **目标学员：** 任何希望对机器学习有一个基础了解的人，包括雇主和雇员，以更好地理解并应对日益普及的机器学习技术。
This course aims to provide students with a broad overview of the field of machine learning and will introduce some important terms and techniques which will enable them to follow a discussion on the topic. I will discuss the fundamental aspects of data pipelines and will point out what some of the common pitfalls are when preparing data for a machine learning project. I will also discuss what the different types of machine learning models are and how they differ from deep learning models.Broad overviews will be provided of some of the most popular supervised and unsupervised models and students will be introduced to some of the popular neural network variants. This will be followed by a few practical demonstrations which will show students how they can combine the discussed topics to create basic machine learning solutions.This course will not provide in-depth explanations regarding the mathematical underpinnings of these models, nor will it provide detailed discussions regarding how to implement machine learning models from scratch. Instead, the aim is to simplify and condense the subject matter to provide students with an easily digestible introduction to the field.Whether students are employers or employees, we believe it to be highly beneficial to have a basic understanding of what machine learning models are and what they are not -- especially as machine learning tools become increasingly common in many domains.
